摘要
电动汽车锂离子电池会受振动与老化影响而加速衰减,为了诊断振动老化条件下的衰退机理,实现健康状态(SOH)预测,采取如下措施:首先,分析电池受振动影响的衰减结果;其次,辨识衰退模式,利用容量增量-微分电压(IC-DV)曲线对衰退模式进行量化,Z组结果为:活性物质损失(36.94%)、锂离子损失(35.12%)、电导率损失(1.9%);最后,将量化结果输入建立的GA-Elman模型实现SOH预测,结果误差保持在5%以内,满足电池管理系统(BMS)预测的要求。该研究为振动老化条件下锂离子电池的衰退机理诊断与SOH预测提供了依据,有助于BMS制定相关策略延长电池使用寿命。
The lithium-ion battery in electric vehicle may decay quickly due to vibration and aging.One purpose of this research is to diagnose the degradation mechanism under such conditions.The other is to realize the state of health(SOH)prediction.The specific methods are given as follows.First,the attenuation results of the battery affected by vibration are analyzed.Secondly,the degradation mode is identified.Then,the incremental capacity-differential voltage(IC-DV)curve is used to quantify the degradation mode.The results of group Z are illustrated as follows.The loss of active material is 36.94%,the loss of lithium ions is 35.12%,and the conductivity loss is 1.9%.Finally,the quantified results are taken as the input to formulate the GA-Elman model to realize SOH prediction.The errors are within 5%,which can meet the requirements of battery management system(BMS).This research provides a basis for the diagnosis and SOH prediction of lithium-ion batteries under vibration and aging conditions.It could help BMS formulate relevant strategies to extend battery life.
作者
李文华
邵方旭
暴二平
何明泽
王洋洋
Li Wenhua;Shao Fangxu;Bao Erping;He Mingze;Wang Yangyang(State Key Laboratory for reliability and intelligence of electrical equipment jointly constructed by ministry and province,Hebei University of Technology,Tianjin 300130,China;China Aerospace Construction Group Co.,Ltd.,Beijing 100071,China)
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2021年第8期62-69,共8页
Chinese Journal of Scientific Instrument
基金
河北省自然科学基金创新群体项目(E2020202142)
河北省自然科学基金项目(E2020202221)资助。
关键词
锂离子电池
健康状态
振动
老化
容量增量
衰退机理
lithium-ion battery
state of health
vibration
aging
incremental capacity
degradation mechanism
